How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, cybersecurity, transportation, and social media analytics. Despite advances in algorithmic design—such as ensemble methods, support vector machines, and deep neural networks—the effectiveness of predictive models often depends less…
